PhD Opportunities:

• He is looking for PhD students with self-motivation and strong interests in interdisciplinary research of smart energy systems, such as AI and machine learning, data analysis, optimisation, and mechnism design. Visiting scholars and students are also welcome.
• Our Next Generation Graduates Program in "AI for Clean Energy and Sustainability" is offering scholarships to domestic PhD and Master by Research Students, building a cohort of graduates equipped to be next-generation leaders in the energy sector.

Honours and Masters Minor Thesis Opportunities:

Accepting one-year Honours and Masters Minor Thesis students. Check out the projects at  https://supervisorconnect.it.monash.edu/supervisors/hao-wang

Bio:

Hao Wang is an ARC DECRA Fellow and Senior Lecturer in the Department of Data Science and Artificial Intelligence, Monash University. He is also affiliated with the Monash Energy Institute and Monash AI Institute.

He was a Postdoctoral Research Fellow in the Stanford Sustainable Systems Lab working with Prof. Ram Rajagopal and Dr. Chin-Woo Tan at Stanford University and a Washington Research Foundation (WRF) Innovation Fellow working with Prof. Baosen Zhang at University of Washington, Seattle. He received his PhD from The Chinese University of Hong Kong under the supervision of Prof. Jianwei Huang.

His research interests are in applied machine learning and data analytics for smart grids and smart cities, optimization of power & energy systems, and business models and mechanism design for incentivizing participation of electric vehicles and prosumers.

He (along with his students and collaborators) received the Best Paper Award at IEEE PECON 2016, Best Paper Run-Up at IEEE ICC 2017, Best Paper Nomination at IEEE SmartGridComm 2020, 2023 Excellent Paper Award from Energy Conversion and Economics, Young Scientist Award at AEEES 2023, Best Paper Presentation Forum at IEEE PESGM 2024, 2024 First Prize Paper Award from IEEE Industry Applications Magazine, Best Vision Paper Award from ACM SIGSPATIAL 2024, Best Paper Award at IEEE SmartGridComm 2025, Best Special Theme Paper at EMNLP 2025 (Core A*), Best Paper Award at IEEE EPEC 2025, IJPEM-GT Award from International Journal of Precision Engineering and Manufacturing - Green Technology (Q1).

He is on the editorial board of the International Journal of Precision Engineering and Manufacturing-Green Technology (IJPEM-GT), an associate editor for Energy Conversion and Economics, IEEE Access, and Frontiers in Energy Research, and a referee for top journals: Joule, IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE Transactions on Industrial Informatics, Applied Energy, Renewable Energy. He has served as an Organization Committee member for ACM e-Energy 2019 and a TPC member for conferences including ACM e-Energy and IEEE SmartGridComm.

Call for papers 

IET Renewable Power Generation - "Intelligent Decision-Making for Smart Distribution Systems Towards Efficient Integration of High Penetration Distributed Resources" - Full paper submission deadline: Aug 31, 2025

IET Renewable Power Generation - "Resilience for Decarbonized Power Systems under Cyber-Physical Attacks" - Full paper submission deadline: Aug 31, 2025

The 5th International Conference On Smart City And Green Energy (Melbourne, Australia | 12 – 14 Dec, 2025) - submission due Aug 2025 website

ACM EnergySP '25 - ACM SIGEnergy Workshop on Cybersecurity and Privacy of Energy Systems (Rotterdam, Netherlands | 17 June, 2025)  - submission due 24th March 2025 website

2025 World Symposium on Electrical Systems (Lanzhou, China | 06 – 08 June, 2025) - submission due Jan 2025 website

The 4th International Conference on Power Systems and Electrical Technology (Tokyo, Japan | August 4-8, 2025) - submission due June 30 2025 website

IET Renewable Power Generation - "Computational Methods and Artificial Intelligence Applications in Low Carbon Energy Systems"
Full paper submission closed and special issue published

Frontiers in Energy Research - "AI, Data Analytics, and Mechanism Design for DER Integration Toward Net Zero"
Full paper submission closed and special issue published

• Optimisation for smart grids, microgrids, and transactive energy
• Machine learning (e.g., reinforcement learning, online learning) for energy systems
• Data analytics for distributed energy resources, e.g., residential prosumers and electric vehicles
• Energy economics and business models, e.g., game-theoretic analysis and sharing economy